Introduction
Replacing values lets you fix or clean data by changing specific entries. This helps when you have typos, wrong labels, or need to standardize data before analysis.
When your sales data has misspelled product names that need correction
When you want to change all 'N/A' entries to blank or zero for calculations
When you need to replace old region codes with new ones in your dataset
When you want to standardize different date formats into one consistent format
When you want to fix inconsistent capitalization in customer names